Text-to-Image
Diffusers
Safetensors
English
FluxPipeline
stable-diffusion
Diffusers
image-generation
flux
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Raelina/Raemu-Flux", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Raemu Flux
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Overview
Raemu Flux is a finetuned model built on top of Flux.1-dev, specifically focused on anime. It has been finetuned with dataset nearly 1,500 carefully curated, high-quality aesthetic anime images, resulting in noticeable improvements in anime scene rendering and visual quality.
Inference
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained("Raelina/Raemu-Flux", torch_dtype=torch.bfloat16)
# to run on low vram GPUs (i.e. between 4 and 32 GB VRAM)
pipe.enable_sequential_cpu_offload()
pipe.vae.enable_slicing()
pipe.vae.enable_tiling()
prompt = "A woman anime hold sign that says hello world"
image = pipe(
prompt,
width=896,
height=1152,
guidance_scale=3.5,
num_inference_steps=20,
max_sequence_length=512,
generator=torch.Generator("cpu").manual_seed(0)
).images[0]
image.save("raemu-flux.png")
Usage
Be sure to include anime in your prompt. otherwise, the output may appear realistic. For example:
A woman anime hold sign that says Hello World.
License
The model falls under flux-1-dev-non-commercial-license
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